Number data types store numeric values. They are immutable data types, means that changing the value of a number data type results in a newly allocated object.
Number objects are created when you assign a value to them. For example -
var1 = 1
var2 = 10
You can also delete the reference to a number object by using the del statement. The syntax of the del statement is -
del var1[,var2[,var3[....,varN]]]]
You can delete a single object or multiple objects by using the del statement. For example:
del var
del var_a, var_b
Python supports four different numerical types -
int (signed integers): They are often called just integers or ints, are positive or negative whole numbers with no decimal point.
long (long integers ): Also called longs, they are integers of unlimited size, written like integers and followed by an uppercase or lowercase L.
float (floating point real values) : Also called floats, they represent real numbers and are written with a decimal point dividing the integer and fractional parts. Floats may also be in scientific notation, with E or e indicating the power of 10 (2.5e2 = 2.5 x 102 = 250).
complex (complex numbers) : are of the form a + bJ, where a and b are floats and J (or j) represents the square root of -1 (which is an imaginary number). The real part of the number is a, and the imaginary part is b. Complex numbers are not used much in Python programming.
Number Type Conversion
Python converts numbers internally in an expression containing mixed types to a common type for evaluation. But sometimes, you need to coerce a number explicitly from one type to another to satisfy the requirements of an operator or function parameter.
Type int(x) to convert x to a plain integer.
Type long(x) to convert x to a long integer.
Type float(x) to convert x to a floating-point number.
Type complex(x) to convert x to a complex number with real part x and imaginary part zero.
Type complex(x, y) to convert x and y to a complex number with real part x and imaginary part y. x and y are numeric expressions
Number objects are created when you assign a value to them. For example -
var1 = 1
var2 = 10
You can also delete the reference to a number object by using the del statement. The syntax of the del statement is -
del var1[,var2[,var3[....,varN]]]]
You can delete a single object or multiple objects by using the del statement. For example:
del var
del var_a, var_b
Python supports four different numerical types -
int (signed integers): They are often called just integers or ints, are positive or negative whole numbers with no decimal point.
long (long integers ): Also called longs, they are integers of unlimited size, written like integers and followed by an uppercase or lowercase L.
float (floating point real values) : Also called floats, they represent real numbers and are written with a decimal point dividing the integer and fractional parts. Floats may also be in scientific notation, with E or e indicating the power of 10 (2.5e2 = 2.5 x 102 = 250).
complex (complex numbers) : are of the form a + bJ, where a and b are floats and J (or j) represents the square root of -1 (which is an imaginary number). The real part of the number is a, and the imaginary part is b. Complex numbers are not used much in Python programming.
Number Type Conversion
Python converts numbers internally in an expression containing mixed types to a common type for evaluation. But sometimes, you need to coerce a number explicitly from one type to another to satisfy the requirements of an operator or function parameter.
Type int(x) to convert x to a plain integer.
Type long(x) to convert x to a long integer.
Type float(x) to convert x to a floating-point number.
Type complex(x) to convert x to a complex number with real part x and imaginary part zero.
Type complex(x, y) to convert x and y to a complex number with real part x and imaginary part y. x and y are numeric expressions
